Dongya Wu

1.4k total citations · 1 hit paper
30 papers, 874 citations indexed

About

Dongya Wu is a scholar working on Cognitive Neuroscience, Signal Processing and Computational Mechanics. According to data from OpenAlex, Dongya Wu has authored 30 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Signal Processing and 6 papers in Computational Mechanics. Recurrent topics in Dongya Wu's work include Functional Brain Connectivity Studies (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Infrared Target Detection Methodologies (4 papers). Dongya Wu is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Infrared Target Detection Methodologies (4 papers). Dongya Wu collaborates with scholars based in China, Australia and Germany. Dongya Wu's co-authors include Huanzhang Lu, Bendong Zhao, Junliang Liu, Shangfeng Chen, Tianzi Jiang, Yonghong Wang, Yuepeng Pan, Guiqian Tang, Xin Li and Jun Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cerebral Cortex and Atmospheric chemistry and physics.

In The Last Decade

Dongya Wu

29 papers receiving 847 citations

Hit Papers

Convolutional neural networks for time series classification 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dongya Wu China 10 280 208 125 96 88 30 874
Francesco Beritelli Italy 17 250 0.9× 446 2.1× 140 1.1× 110 1.1× 164 1.9× 107 1.0k
Neil R. Euliano United States 13 292 1.0× 132 0.6× 162 1.3× 102 1.1× 66 0.8× 40 1.3k
Shun Chen China 9 452 1.6× 325 1.6× 203 1.6× 67 0.7× 155 1.8× 14 1.2k
Ardhendu Behera United Kingdom 17 229 0.8× 105 0.5× 181 1.4× 54 0.6× 338 3.8× 36 1.1k
Eros Pasero Italy 18 211 0.8× 75 0.4× 181 1.4× 116 1.2× 139 1.6× 117 1.2k
Martin Längkvist Sweden 9 379 1.4× 295 1.4× 203 1.6× 230 2.4× 234 2.7× 26 1.5k
Laurent Oudre France 14 234 0.8× 212 1.0× 78 0.6× 55 0.6× 242 2.8× 79 1.3k
Xia Yu China 19 319 1.1× 138 0.7× 50 0.4× 45 0.5× 340 3.9× 82 1.1k
Ian Nabney United Kingdom 7 285 1.0× 97 0.5× 73 0.6× 36 0.4× 162 1.8× 20 860
Grazia Lo Sciuto Italy 18 178 0.6× 50 0.2× 236 1.9× 95 1.0× 106 1.2× 83 1.1k

Countries citing papers authored by Dongya Wu

Since Specialization
Citations

This map shows the geographic impact of Dongya Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dongya Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongya Wu more than expected).

Fields of papers citing papers by Dongya Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dongya Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dongya Wu. The network helps show where Dongya Wu may publish in the future.

Co-authorship network of co-authors of Dongya Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dongya Wu. A scholar is included among the top collaborators of Dongya Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dongya Wu. Dongya Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Yulin, et al.. (2025). Defense Against Prompt Injection Attack by Leveraging Attack Techniques. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 18331–18347. 1 indexed citations
2.
Wu, Dongya, et al.. (2025). Low-Rank Matrix Recovery Via Nonconvex Optimization Methods with Application to Errors-in-Variables Matrix Regression. Journal of Optimization Theory and Applications. 205(3).
3.
Wu, Dongya & Xin Li. (2023). Graph propagation network captures individual specificity of the relationship between functional and structural connectivity. Human Brain Mapping. 44(9). 3885–3896. 3 indexed citations
4.
Li, Xin & Dongya Wu. (2023). Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method. Statistics and Computing. 34(1). 1 indexed citations
5.
Liu, Ke, et al.. (2023). Speech Emotion Recognition via Heterogeneous Feature Learning. 1–5. 3 indexed citations
6.
Wu, Dongya, et al.. (2022). Speech Emotion Recognition via Multi-Level Attention Network. IEEE Signal Processing Letters. 29. 2278–2282. 14 indexed citations
7.
Wu, Dongya, Xin Li, & Jun Feng. (2021). Multi-Hops Functional Connectivity Improves Individual Prediction of Fusiform Face Activation via a Graph Neural Network. Frontiers in Neuroscience. 14. 596109–596109. 5 indexed citations
8.
Wu, Dongya, Xin Li, & Jun Feng. (2021). Connectome-based individual prediction of cognitive behaviors via graph propagation network reveals directed brain network topology. Journal of Neural Engineering. 18(4). 0460a3–0460a3. 11 indexed citations
9.
Wu, Dongya, Lingzhong Fan, Ming Song, et al.. (2020). Hierarchy of Connectivity–Function Relationship of the Human Cortex Revealed through Predicting Activity across Functional Domains. Cerebral Cortex. 30(8). 4607–4616. 18 indexed citations
10.
Wu, Dongya, Xin Li, & Tianzi Jiang. (2019). Reconstruction of behavior-relevant individual brain activity: an individualized fMRI study. Science China Life Sciences. 63(3). 410–418. 9 indexed citations
11.
Wu, Dongya & Tianzi Jiang. (2019). Schizophrenia-related abnormalities in the triple network: a meta-analysis of working memory studies. Brain Imaging and Behavior. 14(4). 971–980. 29 indexed citations
12.
Wu, Dongya. (2019). Correlation of viral load of Hepatitis B with the gestation period and the development of diabetes mellitus. Saudi Journal of Biological Sciences. 26(8). 2022–2025. 12 indexed citations
13.
Wu, Dongya, Yue Cui, Bing Liu, et al.. (2019). Reliable heritability estimation using sparse regularization in ultrahigh dimensional genome-wide association studies. BMC Bioinformatics. 20(1). 219–219. 4 indexed citations
14.
Wu, Dongya & Xin Li. (2019). Prediction of Behavioral Traits via Anatomical Connectivity Fingerprint. 260–265. 1 indexed citations
15.
Liu, Dong, Suhua Fu, Dongya Wu, et al.. (2019). CHARACTERIZATION OF SPRING AIR POLLUTION OF BEIJING IN 2019 USING ACTIVE AND PASSIVE REMOTE SENSING INSTRUMENTS. SHILAP Revista de lepidopterología. XLII-3/W9. 153–158. 1 indexed citations
16.
Zhu, Yongsheng, et al.. (2019). Multiobjective dynamic economic emission dispatch using evolutionary algorithm based on decomposition. IEEJ Transactions on Electrical and Electronic Engineering. 14(9). 1323–1333. 30 indexed citations
17.
Wu, Dongya, Huanzhang Lu, Bendong Zhao, Junliang Liu, & Ming Zhao. (2019). Micro-Motion Dynamics and Shape Parameters Estimation Based on an Infrared Signature Model of Spatial Targets. Electronics. 8(7). 755–755. 3 indexed citations
18.
Zhao, Bendong, et al.. (2017). Convolutional neural networks for time series classification. Journal of Systems Engineering and Electronics. 28(1). 162–169. 593 indexed citations breakdown →
19.
Zhao, Bendong, et al.. (2017). Modeling and simulation of infrared signature of remote aerial targets. 34. 1–5. 2 indexed citations
20.
Pan, Yuepeng, Yonghong Wang, Guiqian Tang, & Dongya Wu. (2013). Spatial distribution and temporal variations of atmospheric sulfur deposition in Northern China: insights into the potential acidification risks. Atmospheric chemistry and physics. 13(3). 1675–1688. 61 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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